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Practical Site Reliability Engineering

Practical Site Reliability Engineering

By : Pethuru Raj Chelliah, Naithani, Singh
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Practical Site Reliability Engineering

Practical Site Reliability Engineering

By: Pethuru Raj Chelliah, Naithani, Singh

Overview of this book

Site reliability engineering (SRE) is being touted as the most competent paradigm in establishing and ensuring next-generation high-quality software solutions. This book starts by introducing you to the SRE paradigm and covers the need for highly reliable IT platforms and infrastructures. As you make your way through the next set of chapters, you will learn to develop microservices using Spring Boot and make use of RESTful frameworks. You will also learn about GitHub for deployment, containerization, and Docker containers. Practical Site Reliability Engineering teaches you to set up and sustain containerized cloud environments, and also covers architectural and design patterns and reliability implementation techniques such as reactive programming, and languages such as Ballerina and Rust. In the concluding chapters, you will get well-versed with service mesh solutions such as Istio and Linkerd, and understand service resilience test practices, API gateways, and edge/fog computing. By the end of this book, you will have gained experience on working with SRE concepts and be able to deliver highly reliable apps and services.
Table of Contents (14 chapters)
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10
Containers, Kubernetes, and Istio Monitoring

Deploying microservices

Let's start to think practically about microservice deployment. We are going to look at the latest container technologies and orchestrator tools that are dominating the microservice market. First, we will list the availability of tools and options and then we will look at an example to show you how things can be deployed in the microservice model.

Microservices can be deployed on the following platforms:

  • Container platforms: These include technologies such as Docker, rkt, AWS ECS, and AWS EKS.
  • Code as a function: We can deploy bare functions written in supported programming languages on AWS Lambda-like platforms. These platforms will run that configured code and store the result on an S3-like bucket or a supported database on a cloud vendor platform. Alternatively, the code might trigger a further configured action. It can be called through AWS...
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